Postdoc In Biomedical Data Science And Artificial Intelligence

What We Are Looking forISGlobal is seeking a motivated postdoctoral researcher to join the Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, with the vision of leveraging data analytics and artificial intelligence to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute to the digital transformation of biomedicine and carry out research that has social impact and responds to unmet medical needs.
The postdoctoral researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease drivers leading to early disease diagnosis and the discovery of novel digital biomarkers in the context of chronic liver disease.
Previous experience in the deep learning field is highly desirable. Interest is additionally expressed for candidates with demonstrated experience in the biomedical field.
As part of the Biomedical Data Science Team, the selected candidate will have the opportunity to work in a highly multidisciplinary environment, working closely with computational, experimental and clinical collaborators in a creative, challenging and entrepreneurial environment. ISGlobal offers training workshops where the postdoctoral fellow will be able to develop technical and interpersonal skills which are important for a successful career. The Biomedical Data Science Team fosters team diversity and encourages the application of candidates from different backgrounds and genders.
Training and experience /QualificationsCandidates are expected to:
Have a completed, or close to completion, PhD with strong analytics expertise in any of the following areas: Biomedical Sciences, Computer Science, Engineering, Mathematics, Statistics, Physics or related fields. Additional profiles will be considered if highly motivated researchers in other related disciplines decide to apply.Experience developing algorithms or building data solutions, and integrating and managing datasets from multiple sources.Solid programming experience in one or more general purpose programming language: Python, R, Scala.Hands-on experience using one of the following deep learning libraries: Tensorflow, PyTorch or similar is desirable.Having first-authored publications in peer-reviewed journals is desirable.Be willing to work in an interdisciplinary team within a highly collaborative research institute.Be willing to apply to individual fellowships to become and independent researcher and define new own lines of research.Key ResponsibilitiesDevelopment of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics.Carry out high-quality research independently.Help develop robust model training and data infrastructure to support collaborative data science projects at ISGlobal.Publish research results in scientific journals and in national and international conferences.

#J-18808-Ljbffr